Shuo Feng

Shuo Feng

Assistant Professor

Tsinghua University


I am currently a Tenure-Track Assistant Professor in the Department of Automation at Tsinghua University. I was an Assistant Research Scientist at University of Michigan Transportation Research Institute (UMTRI). Before joining UMTRI, I was a post-doctoral researcher at the Michigan Traffic Lab of the University of Michigan, Ann Arbor, working with Prof. Henry X. Liu. I received the bachelor’s and Ph.D. degrees in the Department of Automation at Tsinghua University, China, in 2014 and 2019, respectively, where I was advised by Prof. Yi Zhang. I was also a visiting Ph.D. student in Civil and Environmental Engineering with the University of Michigan from 2017 to 2019, where I was advised by Prof. Henry X. Liu.

I received the Best Ph.D. Dissertation Award from the IEEE Intelligent Transportation Systems Society (ITSS) in 2020 and the Intelligent Transportation Systems Outstanding Paper Award from the INFORMS Transportation Science and Logistics society in 2021. I am serving various roles in multiple academic organizations, including Member in the SAE On-Road Automated Driving (ORAD) Verification and Validation Task Force, Organizer of the IEEE 2021 Intelligent Vehicles Symposium “Cooperative Driving in Mixed Traffic” Workshop, Organizer of the 38th International Conference on Machine Learning “A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning” Workshop, and Organizer of the IEEE-ITSC 2022 workshop “Safety Validation of Connected and Automated Vehicles”. I have also served as Associated Editor of IEEE Transactions on Intelligent Vehicles, Academic Editor of Automotive Innovation, Guest Editor of SAE International Journal of Electrified Vehicles, and Special Issue Editorial Board of Engineering.

My current research interests lie in developing and validating safety-critical machine learning, particularly for connected and automated vehicle testing and evaluation. On these topics, I have published around 30 articles on refereed journals, including Nature, Nature Communications, IEEE Trans. Intell. Transp. Syst., IEEE Trans. Control Syst. Technol., and Transp. Res. Part C Emerg. Technol..


  • Connected and Automated Vehicle Testing and Evaluation
  • Cooperative Automation
  • Traffic Environment Modeling


  • Ph.D. in Control Science and Engineering, 2019

    Tsinghua University

  • Visiting Scholar in Civil and Environmental Engineering, 2017-2019

    University of Michigan, Ann Arbor

  • B.S. in Automation, 2014

    Tsinghua University